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Transformer plays an important role in electrical power system .There are many problems associated with Power loss in transformer but in this paper mainly focuses on efficient cooling system designed for overcoming heating and insulation losses. Ever since the invention of a transformer, we have been facing the trend of increasing its nominal power. Together with the increase of nominal power, losses in transformers increase as well, while a transformer's own capability of cooling decreases. The efficiency of the cooling is a crucial factor determining the operational safety and the life span of a transformer. Based on previous research works, this paper compares four cooling methods (air natural, air forced, air forced water forced and air forced water forced with coolant cooling) with the help of experimental setup. In this experimental setup comprises copper tube, air fan, water circulating pump. And the result better found in the air forced water forced with coolant cooling method .By using this method, the temperature of transformer can be reduced in short time. According to generally adopted estimate states that if a transformer’s maximum operating temperature is reduced by 6°C-10°C the thermal life of insulation system is approximately doubled. The main purpose of the experiment is to improve the cooling system of transformer, to increase the life expectancy of transformer.
Keywords:
Transformer, IR Controller, Copper tube, Coolant.
Cite Article:
"Experimental Study and performance analysis of transformer cooling system", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 9, page no.91 - 98, September-2018, Available :http://www.ijrti.org/papers/IJRTI1809016.pdf
Downloads:
000205244
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator